6 citations · 9 across the 10 of their papers we have counts for
4 papers · 1 filter
Interacting Particle Systems for Fast Linear Quadratic RL
Anant A Joshi, Heng-Sheng Chang, Amirhossein Taghvaei +2
This paper is concerned with the design of algorithms based on systems of interacting particles to represent, approximate, and learn the optimal control law for reinforcement learn…
Backward Map for Filter Stability Analysis
Jin Won Kim, Anant A. Joshi, Prashant G. Mehta
In this paper, a backward map is introduced for the purposes of analysis of the nonlinear (stochastic) filter stability. The backward map is important because the filter-stability…
Dual Ensemble Kalman Filter for Stochastic Optimal Control
Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta +1
In this paper, stochastic optimal control problems in continuous time and space are considered. In recent years, such problems have received renewed attention from the lens of rein…
Towards Provable Log Density Policy Gradient
Pulkit Katdare, Anant Joshi, Katherine Driggs-Campbell
Policy gradient methods are a vital ingredient behind the success of modern reinforcement learning. Modern policy gradient methods, although successful, introduce a residual error…